DataStax Public Training: Apache Cassandra - Building Scalable Java Applications

DataStax Public Training: Apache Cassandra - Building Scalable Java Applications

 

About The Event

Description:

This course provides a technical introduction to all the conceptual and practical aspects needed to use Apache Cassandra for building scalable Java applications. It also provides several best practices that are a result of the extensive application of Cassandra in production

Duration:

3 days

Prerequisites:

Participants should have experience of programming in Java and be comfortable using Linux command line tools to successfully complete the learning exercises.

Audience:

Developers/Designers/Architects who want to build Java applications that persist and query data in Cassandra

Environment:

Virtual Machine pre-configured with Apache Cassandra 2.0, related tools, and exercise files.

Instructions:

Participants need to carry laptops with dual quad core 64 bit processor, 8GB RAM and preferably with 64 bit OS. If using a 32 bit OS on a 64 bit processor, processor must support Virtualization and it needs to be enabled in BIOS. Ensure you have the Admin rights for that.

Laptops must permit copying of files from a USB flash drive or a DVD drive provided by DataStax.

For Windows & Linux: VMWare Player is required. If not already installed, setup files will be provided.

For Mac: VMWare Fusion to be purchased and installed by the participants.

No other virtualization software is supported.

 

Faculty:

Aravind Nallan, DataStax authorised global Cassandra Trainer

Contact:

Email: training@cloudwick.com 

Phone: +919948870007 | +919542871872

 

Learning Objectives:

  • Introduction to Apache Cassandra
  • Acquiring and Installing Cassandra
  • Configuring and Installation Structure
  • Basic Cassandra Architecture
  • The Cassandra Data Model
  • Compound Primary Keys
  • Composite Partition Keys
  • Indexes and Secondary Indexes
  • Guidelines for Querying
  • Understand and Use Counters
  • Understand and use collections
  • Data Consistency in Cassandra
  • Lightweight Transactions
  • Static Columns
  • Repair Mechanisms
  • Write Failures
  • Key and Row Caches
  • Multi-Data Center Support
  • Deletes
  • Introduction to DataStax Java Driver
  • QueryBuilder and Dynamic Queries
  • Asynchronous Querying
  • Driver Policies

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